GENERAL HEALTH AND WELLNESS MANAGEMENT METHOD AND APPARATUS FOR A WELLNESS APPLICATION USING DATA FROM A DATA-CAPABLE BAND

• US 20120313776A1
• Filed: 04/23/2012
• Published: 12/13/2012
• Est. Priority Date: 06/10/2011
• Status: Active Grant

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: AliphCom, Inc. (AliphCom Corp.)
• Inventors: UTTER, MAX EVERETT II
• Granted Patent: US 8,446,275 B2
• Time in Patent Office: Days
• US Class Current: 340/539.12
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

General health and wellness management techniques and devices are configured for use with a data-capable personal worn or carried device. In one embodiment, a method receiving data representing a profile upon which a target score is established based on one or more health-related activities, and acquiring data representing one or more subsets of acquired parameters based on, for example, one or more sensors disposed in a wearable computing device. The method can include determining data representing values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the profile and calculating at a first processor a score based on data representing the values. The score represents an attained portion of the one or more health-related activities. In some cases, the method includes causing presentation of a representation of the score relative to the target score.

Claims

1. A method comprising:

receiving data representing a profile defining parameters upon which a target score is established based on one or more health-related activities;

acquiring data representing one or more subsets of acquired parameters based on one or more sensors disposed in a wearable computing device;

determining data representing values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the profile;

calculating at a first processor a score based on data representing the values, the score representing an attained portion of the one or more health-related activities; and

causing presentation of a representation of the score relative to the target score.

2. The method of claim 1, wherein the score is indicative of an ability of a user to achieve a targeted level of health and wellness associated with the target score.

3. The method of claim 1, further comprising:

adjusting a determination upon which to modify the target score,

wherein the target score is indicative of one or more standards against which to compare one or more groups of values aggregated to form the target score.

4. The method of claim 1, wherein the first processor is disposed in the wearable computing device.

5. The method of claim 1, wherein the one or more subsets of acquired parameters comprises:

data representing one or more of

a first subset of acquired parameters associated with sleep-related activities,

a second subset of acquired parameters associated with nutrition-related activities, and

a third subset of acquired parameters associated with movement-related activities.

6. The method of claim 5, wherein calculating the score based on the data representing the values comprises:

aggregating one or more of a sleep score, a nutrition score and an activity score.

7. The method of claim 1, wherein the one or more subsets of acquired parameters comprises:

data representing one or more of

a fourth subset of acquired parameters associated with location-related activities, and

a fifth subset of acquired parameters associated with social-related activities.

8. The method of claim 7, wherein calculating the score based on the data representing the values comprises:

generating a context score based on the fourth and fifth subsets of acquired parameters; and

aggregating the score and the context score to form the target score.

9. The method of claim 1, further comprising:

adjusting the score for one or more of the values to form an adjusted score; and

using the adjusted score to form an overall score.

10. The method of claim 9, further comprising:

determining a context score based on either one or more location-related parameters or one or more social-related parameters; and

forming the adjusted score using the context score.

11. The method of claim 1, further comprising:

determining a magnitude of a difference between the score and the target score;

predicting a subset of the acquired parameters to reduce the difference between the score and the target score; and

generating data representing a recommendation to present to a user to engage in engage in a health-related activity.

12. The method of claim 11, wherein generating the data representing the recommendation comprises:

generating data representing a suggestion to interact socially with a subset of people who are associated with activity scores indicative of active users; and

causing presentation of the suggestion to contact interact with the subset of people to reduce the difference between the score and the target score.

13. The method of claim 11, wherein generating the data representing the recommendation comprises:

generating data representing a suggestion to interact physically with a structure associated with a location of the user; and

causing presentation of the suggestion to physically interact with the structure to reduce the difference between the score and the target score.

14. The method of claim 1, wherein acquiring data representing the acquired parameters comprises:

obtaining for an acquired parameter data representing a type of parameter and units of the acquired parameter.

15. The method of claim 14, wherein receiving data representing the profile comprises:

obtaining data representing a value per unit of a parameter and a reference value representing a target number of units of the parameter,

wherein the parameter corresponds to the acquired parameter.

16. The method of claim 1, further comprising:

causing generation of a graphical representation on an interface to induce modification of the values for at least one subset of the acquired parameters or

causing generation of a haptic signal for providing vibratory feedback to induce to induce modification of the values for at least one subset of the acquired parameters.

17. The method of claim 1, further comprising:

determining trend data representing one or more calculated scores, the trend data being stored in a memory;

indentifying at least one acquired parameter as deviating by a threshold amount from a corresponding parameter defined by the profile;

recommending modification of the at least one acquired parameter to reduce the threshold amount; and

detecting whether the at least one acquired parameter is modified.

18. The method of claim 1, further comprising:

detecting the score exceeds the target score; and

reducing a rate at which the score as a function of the difference between the score and the target score.

19. The method of claim 1, further comprising:

determining a subset of scores;

changing a classification associated with a user based on the subset of scores,

wherein changing the classification including leveling up to a first classification or leveling down to a second classification.

20. A device comprising:

a first interface configured to receive data representing acquired parameters from one or more sensors, at least one sensor being disposed in a wearable computing device;

an aggregation engine comprising;

a repository configured to store data representing a profile defining parameters upon which a target score is established; and

one or more managers including one or more processors, at least one manager being configured to receive data representing a subset of the acquired parameters and further configured to determine data representing values for the subset of the acquired parameters, the values representing a point value for a user relative to reference values for the parameters set forth in the profile;

a score generator configured to;

calculating a score based on data representing the values; and

adjusting the score based on threshold amounts for one or more of the values to form an adjusted score;

a general health and wellness module configured to facilitate modification of a value of an acquired parameter associated with a state of a user to change the target score; and

a status manager configured to cause presentation of a representation of the target score, wherein the score is indicative of relative proximity to the target score.